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Soft Computing for Problem Solving pp 257–272Cite as

Inspection–Maintenance-Based Availability Optimization of Feeder Section Using Particle Swarm Optimization

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 816))

Abstract

Proper maintenance is important for reliable and efficient operation of the distribution system. The time duration after which the maintenance is required in the distribution system is important to identify. A methodology on PSO for evaluating the optimum value of inspection and maintenance is developed. Optimum value of duration between two inspections is obtained. The cost function and optimization constraints have also been considered. Two sample power systems were used for implementation of this problem. The output received is compared with other variants of particle swarm optimization (PSO) such as bare bones PSO (BBPSO), coordinated aggregation-based PSO (CAPSO), enhanced leader PSO (ELPSO).

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Abbreviations

\( T_{c} \) :

Cycle time

\( t_{\text{ins}} \) :

Inspection duration

\( t_{\text{er}} \) :

Repair time expected

\( \tau \) :

Period between inspections

\( c_{i} \) :

Cost coefficient

\( \tau_{i} \) :

Interval between inspection and repair

\( {\text{NC}} \) :

Number of sections

\( {\text{NLP}} \) :

Load points

\( U_{k} \) :

Unavailability

\( U_{d - k} \) :

Unavailability threshold value

\( A_{K} \) :

Availability

\( w \) :

Inertia weight

\( {\text{rand}}_{ 1} ,\,{\text{rand}}_{ 2} \) :

Random digits

\( c_{1} ,\,c_{2} \) :

Coefficients of acceleration

\( {\text{iter}}_{ \hbox{max} } \) :

Maximum number of iteration

\( w_{\hbox{max} } \) :

Maximum value specified for inertia weight

\( w_{ \hbox{min} } \) :

Minimum value specified for inertia weight

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Author information

Authors and Affiliations

  1. Electrical & Electronics Engineering Department, Institute of Engineering & Science, IPS Academy, Indore, India

    Aditya Tiwary

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  1. Aditya Tiwary
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Correspondence to Aditya Tiwary .

Editor information

Editors and Affiliations

  1. Department of Mathematics, South Asian University New Delhi , New Delhi, India

    Jagdish Chand Bansal

  2. Department of Mathematics, National Institute Of Technology Silchar Department of Mathematics, Silchar, Assam, India

    Kedar Nath Das

  3. Department of Mathematics and Computer Science, Faculty of Science, , Liverpool Hope University, Liverpool, UK

    Atulya Nagar

  4. Department of Mathematics, Indian Institute of Technology Roor Department of Mathematics, Roorkee, Uttarakhand, India

    Kusum Deep

  5. School of Basic Sciences, Indian Institute of Technology Bhubanesw School of Basic Sciences, Bhubaneswar, Odisha, India

    Akshay Kumar Ojha

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Tiwary, A. (2019). Inspection–Maintenance-Based Availability Optimization of Feeder Section Using Particle Swarm Optimization. In: Bansal, J., Das, K., Nagar, A., Deep, K., Ojha, A. (eds) Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 816. Springer, Singapore. https://doi.org/10.1007/978-981-13-1592-3_20

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